• DocumentCode
    2300682
  • Title

    Calibration-free rolling shutter removal

  • Author

    Grundmann, Matthias ; Kwatra, Vivek ; Castro, Daniel ; Essa, Irfan

  • fYear
    2012
  • fDate
    28-29 April 2012
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    We present a novel algorithm for efficient removal of rolling shutter distortions in uncalibrated streaming videos. Our proposed method is calibration free as it does not need any knowledge of the camera used, nor does it require calibration using specially recorded calibration sequences. Our algorithm can perform rolling shutter removal under varying focal lengths, as in videos from CMOS cameras equipped with an optical zoom. We evaluate our approach across a broad range of cameras and video sequences demonstrating robustness, scaleability, and repeatability. We also conducted a user study, which demonstrates preference for the output of our algorithm over other state-of-the art methods. Our algorithm is computationally efficient, easy to parallelize, and robust to challenging artifacts introduced by various cameras with differing technologies.
  • Keywords
    CMOS image sensors; distortion; image sequences; video cameras; video streaming; CMOS cameras; calibration-free rolling shutter removal; focal lengths; optical zoom; repeatability; robustness; rolling shutter distortions; scaleability; specially recorded calibration sequences; uncalibrated streaming videos; Abstracts; Equations; Robustness; Tin;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Photography (ICCP), 2012 IEEE International Conference on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    978-1-4673-1660-6
  • Type

    conf

  • DOI
    10.1109/ICCPhot.2012.6215213
  • Filename
    6215213